Multistep rocky slope stability analysis based on unmanned aerial vehicle photogrammetry
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High-steep slope information collection and multistep rocky slope stability analysis play an important role in slope engineering. However, traditional on-site investigations suffer from terrain restrictions and data omissions. This paper presents a block identification method based on UAV (unnamed aerial vehicle) photogrammetry and its computer implementation. An SfM (structure from motion) method is introduced and a 3D reconstruction software-PhotoScan was used to build the DEM (digital elevation model) of the rock mass for real-time monitoring. Then, an RANSAC (random sample consensus) shape detection algorithm was used to search the structural planes in the point cloud model. A computer program GeoSMA-3D (geotechnical structure and model analysis-3D) has been developed to implement engineering applications and a case study was carried out which confirmed the efficiency of the method in dealing with complex surface modeling and multistep rocky slope stability analysis.
KeywordsBlock theory UAV Photogrammetry Slope stability RANSAC shape detection
This work was conducted with supports from the National Natural Science Foundation of China (Grant nos. 51474050 and U1602232), the Fundamental Research Funds for the Central Universities (N17010829), and Doctoral Scientific Research Foundation of Liaoning Province (Grant nos. 20170540304 and 20170520341).
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